Showing results for "of science" in Programming & Software Development

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

The Secret Science of Games is an accessible and entertaining guide to the hidden role of science in making games more fun. User experience (UX) research is a vital part of the story of how video games have become a cultural juggernaut, but game developers generally don’t speak publicly about how data shapes game design and game development.

Are you looking for an ultimate python step-by step guide in an efficient way? Do you want to implement a variety of supervised and unsupervised learning algorithms and techniques quickly and accurately? If you cannot wait to explore the fundamental concepts and entire process on python data science, listen to this audiobook! You will start by learning the basics of working with Python and the wide variety of data science packages and extensions. You will be guided on how to setup you work environment before diving into the world of data science.

This book consists of 6 titles, namely: Assembly Language: The Ultimate Guide to Programming and Virtual Machines. Computer Science: The Complete Guide to Principles and Informatics. Cyber Security: Beginners’ Guide to Hacking, Phishing, Social Engineering, and Malware. Databases: System Concepts, Designs, Management, and Implementation. Operating Systems: Concepts to Save Money, Time, and Frustration. Website Development: Web Design Skills for Beginners

Unlock the world of Artificial Intelligence—even if you’ve never written a line of code or opened a tech book before. AI for Beginners: The Ultimate Roadmap is your easy, friendly, and complete guide to understanding AI without confusion or overwhelm.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language, and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time. With the help of Python, data manipulation, data visualization, as well as data analysis becomes very simple.

Stop Watching Colleagues Get Ahead With AI While You're Still Struggling With Basic PromptsThe gap between AI-savvy professionals and everyone else is widening daily. Those who master these tools now will dominate their fields for years to come. Those who wait will spend that time catching up."The 30 • Day AI Decoder" is your systematic roadmap from AI confusion to AI mastery—specifically designed for non-technical professionals, entrepreneurs, and creators who need real results, not theory.

In Reinventing Discovery, Michael Nielsen argues that we are living at the dawn of the most dramatic change in science in more than 300 years. This change is being driven by powerful new cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business or the workplace or government. But this is the first book about how the internet is transforming the nature of our collective intelligence.

Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? As a beginner, you will be probably afraid that programming is difficult. Learning data analysis and data mining can take months, and the possibility to give up before mastering them could be high. The best solution is a complete programming manual with hands-on projects and practical exercises. This guide is structured as a course with seven chapters for seven days and studied special exercises to apply what you learned step-by-step.

Unlock the full potential of your data with the power of Python. Python for Data Science: A Practical Guide to Data Wrangling, Analysis, and Machine Learning Using Python’s Most Powerful Libraries is your comprehensive roadmap to mastering the tools and techniques that turn raw data into meaningful insights and predictive models.

Starting a career as a software engineer without a computer science degree is a long and difficult journey, Hasan Armstrong discovered this whilst attempting to switch from a career in healthcare to software engineering. He now works as a software engineer and incorporates all the lessons he has learnt in this book. This book will provide a road map to getting a job as a software engineer without a computer science degree, as well as providing solutions to the obstacles you may face along the way.

Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest haystack. Uploading a photo to Facebook transmits millions of pieces of information over numerous error-prone network links, yet somehow a perfect copy of the photo arrives intact. Without even knowing it, we use public-key cryptography to transmit secret information like credit card numbers, and we use digital signatures to verify the identity of the websites we visit.

Most people struggle with AI because they don't know how to talk to it. This hands-on beginner's guide gives you the tools, confidence, and structure to get real results from today's most powerful AI tools, no tech skills required. The AI Workshop is your plain-language guide to mastering prompt engineering, the skill that turns vague AI requests into powerful results. Whether you're a student, business owner, creative professional, or simply curious about AI, this book shows you how to stop guessing and start getting consistent, high-quality outputs.

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

Either if you want to start up your own enterprise, apply your knowledge to your current business, or find a job at the greatest and most innovative companies, Computer Programming: Python will prepare the ground for your future success.

We live under the comforting assumption that the digital world is permanent — that what we upload, store, and share online will remain accessible forever. Digital Memory & Identity challenges this illusion by exploring the fragility, decay, and impermanence of our modern digital archives. This book examines how our personal histories, cultural artifacts, creative works, and collective knowledge are increasingly stored on technological foundations that are far more vulnerable than traditional physical records.